Custom AI tools & agents
Custom AI tools and agents, built for your business
I build custom AI tools and AI agents that run inside a business and do a real job — answering leads at night and on weekends, blocking wasted ad spend, turning meetings into assigned tasks. Thirty-plus are built and running, they have saved 1,745 hours of work, and most go live in under two weeks. Trained on your data, your playbooks and your rules, not a template.
What "custom" means here
Custom means the tool is trained on your material: your data, your playbooks, your rules, your way of working. Not a template with your logo on it, and not a subscription you bend your process around.
It also means judgment is built in. The WhatsApp responder knows when to answer and when to hand a lead to a person. The ad-waste agent flags what it believes is waste and waits for approval before blocking anything. The task manager writes the task with an owner, a deadline and a priority, then asks a human to approve it.
Off-the-shelf software makes you the integration layer. A custom build starts from the process you already run and takes the repetitive part of it away. One person builds it start to finish, so what ships is what you described.
Tools I've built and run
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AI Auto-Responder
A WhatsApp assistant trained on the business. It answers every lead's questions 24/7, including nights and weekends, qualifies them, and hands off to a human at the right moment. Every word stays inside compliance guardrails, every conversation is logged to the CRM, and it runs on a hard-coded privacy notice and a runaway-conversation cap in code.
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360 Marketing Tool
One hub, one login, the whole funnel: ad copy, landing pages, email, social, keyword research, dashboards and a compliance vault. Every tool inside it is trained on the same brand, playbooks and rules.
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High-Converting Forms
Hand-built HTML forms and sticky calls-to-action. On my own landing pages, rebuilding the forms and CTAs took conversion from about 3% to about 9%.
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Ad Waste Hunter
Reads Google Ads search terms every 48 hours and flags clicks that will never buy — renters, job hunters, DIYers — then blocks them on approval. Wasted spend stops before it compounds.
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The Oracle
The business's knowledge — strategy notes, playbooks, key documents — compiled into one brain the team can ask anything. It answers the way the best strategist in the room would, and cites its sources.
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AI Task Manager
Custom task management: meetings and emails flow in, tasks come out with an owner, a deadline and a priority. A human approves, and one playbook click plans an entire event.
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Minutes, Handled
Meetings end and the tasks already exist. Notes are read automatically, action items are extracted with owner, deadline and priority, and routed to the task board for one-click approval.
How a build goes from idea to live
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We talk — about a day
What the business does, where the money is leaking, and what the process costs you today.
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I find the biggest opportunities — one day
Which process is quietly costing the most, and which build is worth doing first.
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Your solution goes live, running on its own — under two weeks
Fully customized, easy to operate, low maintenance, and built to return more than it costs.
One person, start to finish. You don't leave with a report. You leave with the fix.
What it costs and how long it takes
Every build is scoped and priced before work starts. You get the number up front, not after.
Most builds are live in under two weeks, measured from the first conversation: about a day to talk, a day to find the biggest opportunities, then the build.
There is no public price list, because the price follows the build — an agent that reads Google Ads search terms is not the same work as a hub that holds the whole funnel behind one login. Every build is meant to return more than it costs, and that is the number it gets judged on. The first conversation is free.
What it takes to start
A short list, and it is honest about what makes a build work:
- A process that repeats and costs something — time, spend, or leads going cold.
- Access to your data, playbooks and CRM. Custom means trained on your material; without it you get generic software.
- One owner on your side who can answer questions during the build and take the handover.
- An appetite to run the tool afterwards. These are low maintenance, not no maintenance.
Can you build an AI agent for my business?
Usually yes, if there is a repeatable process with a cost attached to it. The agents built so far all replaced something a person was doing by hand at a bad hour: a WhatsApp assistant that answers every lead's questions 24/7, qualifies them and hands off to a human at the right moment; an agent that reads Google Ads search terms every 48 hours and blocks the clicks that will never buy once you approve; a task manager that turns meetings and emails into tasks with an owner, a deadline and a priority. The first conversation is free and is mostly a test of whether your problem has that shape — something repeatable, something measurable, and material to train on: your data, your playbooks, your CRM. If it does, we scope it, price it, and it is usually live in under two weeks. If it doesn't, I will say so on the call.
Which AI tools give the fastest return?
The ones pointed at money that is already leaking. An ad-waste agent is the usual first build: it reads Google Ads search terms every 48 hours and flags clicks that will never buy — renters, job hunters, DIYers — then blocks them on approval, so wasted spend stops before it compounds. Forms and calls-to-action come next, because they are quick to rebuild and the effect shows as soon as traffic arrives; on my own landing pages that move took conversion from about 3% to about 9%. A lead responder pays back on coverage: every lead arriving at night or on a weekend gets answered, qualified and handed to a human at the right moment. Bigger builds like a full marketing hub return more over time but take longer to show it. Across everything built so far, 1,745 hours of work have been saved.
Do I need technical staff to run it?
No. The tools are built to be operated by the people who already do the job — a marketing team, an office manager, whoever owns the process. Easy to operate and low maintenance are build requirements here, not afterthoughts. In practice the human role is approval rather than administration: the ad-waste agent flags the clicks it wants to block and waits for a yes; the task manager writes the task with an owner, deadline and priority and asks a person to confirm; the lead responder hands the conversation to a human at the right moment. What you do need is one owner on your side — someone who can answer questions during the build and take the handover at the end. What you don't need is an engineer on staff to keep the thing alive.
Is my data safe?
The tools run inside your systems and write to your CRM, so your data stays where it already lives rather than moving somewhere new to be useful. Beyond that I would rather describe what is actually built than make promises I can't back. The WhatsApp responder is the strictest example: it runs on a hard-coded privacy notice, a runaway-conversation cap written into the code, and a mandatory human handoff, with every conversation logged to the CRM so there is a record of what was said. Every word it produces stays inside compliance guardrails, and before it spoke to a single lead it was stress-tested against attempts to bait it into giving personalized advice. That was built for a regulated business, where every word is a compliance surface. If your business has its own requirements, they get scoped into the build like any other rule.
What if it doesn't work?
Then you find out in weeks rather than quarters, because that is how the work is scoped. Builds start small and specific — one process, one number it is meant to move — and go live in under two weeks. That is deliberate: a small first build is the cheapest way to test whether the idea holds, and it gets judged on the number it was built to move rather than on how it looked in a demo. Because the build is fully customized, a problem is usually something to adjust rather than replace, and one person built it start to finish, so there is no relay to go through to change it. The scoping conversation runs honestly in both directions too: if I don't think a build will return more than it costs, I say so before it is priced, not after it has shipped.
Next step
See if we're a fit →One conversation, no charge — the process, the cost it carries, and whether a build is worth scoping. Related: AI marketing consulting, fractional and interim leadership, and more about Roberto Ercole. Or Get The Marketing Builder →, a monthly letter on the systems a $2B firm actually runs.